Job Description
Job Description
Key Highlights:
- Design and implement scalable AI and data architectures aligned with business goals
- Lead development of data platforms and AI-driven systems for analytics, automation, and machine learning
- Collaborate across business and technical teams to translate needs into architectural solutions
- Stay current with emerging AI technologies and drive innovation across the organization
Must-Have Qualifications:
- Bachelor’s or Master’s in Computer Science, Data Science, or related field
- 7+ years in enterprise architecture, with 3–5 years focused on AI/data architecture
- Experience with AI/ML tools (TensorFlow, PyTorch, Scikit-learn), big data platforms (Hadoop, Spark), and cloud (Azure, AWS, GCP)
- Strong understanding of enterprise architecture frameworks (TOGAF, Zachman)
- Excellent communication and stakeholder engagement skills
Preferred Skills:
- Experience supporting federal agencies
- Familiarity with DevOps practices and CI/CD for AI models
- Knowledge of data privacy regulations (GDPR, CCPA)
- Certifications: TOGAF, CDMP, Azure AI Engineer Associate, PMP